AI Strategist, Latin America

The AI Strategist works alongside a Lead AI Strategist to turn client operating problems into working production systems. You will help understand how an area of the business operates, structure the problem, shape the solution, and own defined workstreams through implementation and rollout.

This role combines client work, product thinking, and technical curiosity. You should be comfortable speaking with executives and operators, analyzing an unfamiliar workflow, and working with engineers to turn what you learn into a system that works in practice.

We value learning speed and ownership over a finished playbook. Depending on your background, your work may include process analysis, product requirements, prototyping with AI tools, testing workflows, coordinating engineers, or supporting a production rollout. You do not need to arrive as a production engineer, but you must be eager to understand the technology and build sound judgment quickly.

An AI Strategist can grow by owning larger workstreams, leading more of the client discovery, and taking responsibility for full deployments. Consistent performance at that level can lead to a Lead AI Strategist role, with broader ownership of client relationships, delivery teams, and implementation outcomes.

The role is remote in Bogotá, Buenos Aires, or Mexico City today. Opportunities may also emerge to relocate within Latin America or to the United States. Any relocation would be explored based on mutual interest, business needs, and the immigration options available at the time.

You will join Scope's founding team and shape how the company delivers its most important work. The role has broad responsibility from the start and the opportunity to build the deployment model, team, and local presence as Scope grows in Latin America.

• Participate in discovery with executives, process owners, operators, and technology teams.
• Map workflows, systems, data, constraints, and operating knowledge with client teams.
• Analyze opportunities based on business value and implementation reality.
• Turn discovery findings into clear requirements, work plans, and measurable outcomes.
• Own defined workstreams within deployments led by a Lead AI Strategist.
• Work with engineers to clarify requirements, review implementation decisions, and test the system.
• Maintain clear client communication for your workstream, including progress, risks, and decisions.
• Support rollout, production stabilization, and adoption with client users.
• Turn deployment lessons into reusable methods and components.

Strong candidates may come from either a product/tech background or a strategy consulting background.

• 2–4 years of experience, with evidence of increasing responsibility and strong learning speed.
• For the product and technology path: experience in product management, product operations, implementation, or a related role, with ownership of a product or initiative through launch.
• For the strategy consulting path: experience at Bain, BCG, McKinsey, or a comparable firm, with strong product instincts, technical curiosity, and comfort with high‑stakes client work.
• Ability to structure an ambiguous operating problem, identify what matters, and turn analysis into a practical plan.
• Ability to learn unfamiliar systems quickly and work credibly with engineers, even when you are not writing the production code yourself.
• Clear written and verbal communication with business, operational, and technical audiences.
• Ownership, reliability, and willingness to move between high‑level questions and implementation details.
• Professional fluency in Spanish and English, with availability to travel for client work within Latin America and occasionally to the United States.

• Prototyping with AI tools, working with data, or building automations.
• Working on a technical implementation alongside engineers.
• Working with enterprise platforms, ERPs, legacy applications, retail, logistics, or financial operations.
• Supporting process transformation or software rollout inside an operating business.
• Working in an early‑stage company or another environment with limited structure.